code: def setUp(self):
      self.max_n_clusters = 5
      self.batch = 5
      self.width = 10
      self.height = 10
      shape = (self.batch, self.max_n_clusters, self.width, self.height)
  
      input_arr = numpy.linspace(
          0, 100, shape[0] * shape[1] * shape[2] * shape[3]
      )
      self.input = input_arr.reshape(shape)
  
      g_s = (self.batch, self.width, self.height)
      self.gt = numpy.linspace(0, 10, g_s[0] * g_s[1] * g_s[2]).astype(
          numpy.int32
      )
      self.gt = numpy.reshape(self.gt, g_s)
      self.y = (
          numpy.asarray(self.result_l_dist),
          numpy.asarray(self.result_l_var),
          numpy.asarray(self.result_l_reg),
      )
  
file_path: chainer/tests/chainer_tests/functions_tests/loss_tests/test_discriminative_margin_based_clustering_loss.py
imports: import unittest
  import numpy
  import chainer
  from chainer.backends import cuda
  from chainer import functions
  from chainer import gradient_check
  from chainer import testing
  from chainer.testing import attr
label_desc: Use image node_id 1 for calling the TestDiscriminativeMarginBasedClusteringLoss obj's underlying member method code with example usage: obj.setUp() without return types